estimate_model: Function to estimate outcome models
In causalOT: Optimal Transport Weights for Causal Inference
View source: R/treatment_effect.R
estimate_model R Documentation
Function to estimate outcome models
Description
Function to estimate outcome models
Usage
estimate_model(data, causalWeights, model.function, separate.estimation, ...)
Arguments
data
A dataHolder() object
causalWeights
A causalWeights object
model.function
The model function passed by the user
separate.estimation
TRUE or FALSE, should models be estimated separately in each group?
...
Extra agruments passed to the predict functions
Value
a list with slots y_hat_0, y_hat_1, and fit.
causalOT documentation built on May 29, 2024, 6:16 a.m.
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View source: R/treatment_effect.R
| estimate_model | R Documentation |
Function to estimate outcome models
Description
Function to estimate outcome models
Usage
estimate_model(data, causalWeights, model.function, separate.estimation, ...)
Arguments
data |
A |
causalWeights |
A causalWeights object |
model.function |
The model function passed by the user |
separate.estimation |
TRUE or FALSE, should models be estimated separately in each group? |
... |
Extra agruments passed to the predict functions |
Value
a list with slots y_hat_0, y_hat_1, and fit.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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